Robust scheduling for multi-objective flexible job-shop problems with random machine breakdowns

This study addresses robust scheduling for a flexible job-shop scheduling problem with random machine breakdowns. Two objectives – makespan and robustness – are simultaneously considered. Robustness is indicated by the expected value of the relative difference between the deterministic and actual ma...

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Veröffentlicht in:	International journal of production economics Jg. 141; H. 1; S. 112 - 126
Hauptverfasser:	Xiong, Jian, Xing, Li-ning, Chen, Ying-wu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.01.2013 Elsevier Elsevier Sequoia S.A
Schlagworte:	Breakdown Breakdowns Economics Evolutionary algorithms Expected values Flexible job-shop schedule problem Floats Genetic algorithms Job shops Machine breakdowns Multi-objective evolutionary algorithm Operations research Position (location) Production scheduling Robust scheduling Robustness Scheduling Studies Surrogate measure Flexible job-shop schedule problem Robust scheduling Machine breakdowns Multi-objective evolutionary algorithm Surrogate measure
ISSN:	0925-5273, 1873-7579
Online-Zugang:	Volltext
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